Topic modeling of 6520 AI papers reveals divergent and sometimes contradictory conceptions of bias within the research community.
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2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
Citation network analysis and machine learning models on publishing data indicate that dot-com era patterns do not clearly predict an AI financial bubble, suggesting either an unprecedented form or no bubble at all.
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Examining the Relationship between Scientific Publishing Activity and Hype-Driven Financial Bubbles: A Comparison of the Dot-Com and AI Eras
Citation network analysis and machine learning models on publishing data indicate that dot-com era patterns do not clearly predict an AI financial bubble, suggesting either an unprecedented form or no bubble at all.